Blockchain Developer

Job Description :

• We are seeking 2 experienced Senior Developers with a strong background in Java and Python, along with expertise in market risk or counterparty credit risk.
• These roles will play a crucial part in designing, building, and optimizing our risk systems, ensuring our technology supports accurate, real-time risk management and compliance.

Responsibilities :

System Design & Development :

• Design, develop, and enhance high-performance risk management applications using Java and Python.
• Collaborate with cross-functional teams to architect robust, scalable systems that handle large datasets for market and credit risk analysis.
• Implement complex algorithms and workflows to process, analyze, and report risk exposure across multiple portfolios.

Risk Systems & Data Management :

• Develop tools for efficient data processing, validation, and storage of market and counterparty credit risk data.
• Work with Quant teams to implement models for stress testing, scenario analysis, VaR (Value at Risk), and other risk metrics.
• Ensure data accuracy and consistency across various sources, enhancing data pipelines and integrations.

Required Skills & Qualifications :

Technical Proficiency:

Languages : Proficiency in Java and Python, with hands-on experience in designing and developing risk or trading applications.

Experience :

• 10+ Years of experience in software development, with a proven track record in Java and Python.
• Significant experience in financial services, specifically within risk management or related fields.
• Prior experience in building risk models, risk reporting frameworks, or risk data warehousing systems.

Role Overview

We are seeking a highly skilled and experienced Senior AI Engineer with deep expertise in computer vision and architectural design. The ideal candidate will lead the development of robust, scalable AI systems, drive architectural decisions, and contribute significantly to the deployment of real-time video analytics, multi-model systems, and intelligent automation

solutions.

Key Responsibilities

 Design and lead the architecture of complex AI systems in the domain of computer vision and real-time inference.

 Build and deploy models for object detection, image segmentation, classification, and tracking.

 Mentor and guide junior engineers on deep learning best practices and scalable software engineering.

 Drive end-to-end ML pipelines: from data ingestion and augmentation to training, deployment, and monitoring.

 Work with YOLO-based and transformer-based models for industrial use-cases.

 Lead integration of AI systems into production with hardware, backend, and DevOps teams.

 Develop automated benchmarking, annotation, and evaluation tools.

 Ensure maintainability, scalability, and reproducibility of models through version control, CI/CD, and containerization.

Required Skills

 Advanced proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).

 Strong experience with YOLO, segmentation networks (UNet, Mask R-CNN), and

tracking (Deep SORT).

 Sound understanding of real-time video analytics and inference optimization.

 Hands-on experience designing model pipelines using Docker, Git, MLflow, or similar tools.

 Familiarity with OpenCV, NumPy, and image processing techniques.

 Proficiency in deploying models on Linux systems with GPU or edge devices (Jetson, Coral)

Good to Have

 Experience with multi-model orchestration, streaming inference (DeepStream), or virtual camera inputs.

 Exposure to production-level MLOps practices.

 Knowledge of cloud-based deployment on AWS, GCP, or DigitalOcean.

 Familiarity with synthetic data generation, augmentation libraries, and 3D modeling tools.

 Publications, patents, or open-source contributions in the AI/ML space.

Qualifications

 B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or related field.

 4+ years of proven experience in AI/ML with a focus on computer vision and system- level design.

 Strong portfolio or demonstrable projects in production environments

DocNexus is revolutionizing the global medical affairs & commercial ecosystem with search. We provide a next-generation data platform that simplifies searching through millions of insights, publications, clinical trials, payments, and social media data within seconds to identify healthcare professionals (HCPs), products, manufacturers, and healthcare systems. Leveraging AI-powered Knowledge Graphs, DocNexus assists life science organizations in finding the right key opinion leaders (KOL/DOLs) who play a crucial role in developing and bringing life-saving pharmaceutical products and medical devices to market. Backed by industry leaders such as Techstars, JP Morgan, Mass Challenge, and recognized as one of the Top 200 Most Innovative Startups by TechCrunch Disrupt, we are committed to transforming healthcare insights. We are seeking a skilled and passionate DevOps Engineer to join our dynamic team and contribute to the efficient development, deployment, and maintenance of our platform.

We are looking for a visionary Sr. Full Stack Engineering Lead who is passionate about building and leading our technology department. The ideal candidate will have a solid technical background and experience in leading a team to drive innovation and growth. As Engineering Lead, you will oversee the development and dissemination of technology for external customers, vendors, and other clients to help improve and increase business.

Leadership and Strategy:

• Lead the engineering team and make strategic decisions regarding the technology stack, project management, and resource allocation.
• Establish the company’s technical vision and lead all aspects of technological development.

Development:

• Develop and maintain the front-end and back-end of web applications.
• Ensure the performance, quality, and responsiveness of applications.
• Collaborate with a team to define, design, and ship new features.

Maintenance and Optimization:

• Maintain code integrity and organization.
• Identify and correct bottlenecks and fix bugs.
• Continually work on optimizing the performance of different applications.

Security: Ensure the security of the web applications by integrating security best practices.

• Regularly update the system to protect against vulnerabilities.

Innovation:

• Research and implement new technologies and frameworks that can improve the performance and user experience of the platform.
• Stay informed on emerging technologies and trends that can potentially impact the company's products and services.

Collaboration and Communication:

• Work closely with other departments to understand their needs and translate them into technical solutions.
• Communicate technology strategy to partners, management, investors, and employees.

Project Management:

• Oversee and support project planning, deadlines, and progress.
• Ensure that the technology standards and best practices are maintained across the organization.

Mentoring and Team Building:

• Foster a culture of innovation and excellence within the technology team.
• Mentor and guide the professional and technical development of team members.

Front-End Development:

• HTML/CSS: For structuring and styling the web pages.
• JavaScript/TypeScript: Core scripting language, along with frameworks like Angular, React, or Vue.js for dynamic and responsive user interfaces.

Back-End Development:

• Python: Using frameworks like Django or Flask for server-side logic.
• Node.js: JavaScript runtime environment for building scalable network applications.
• Ruby on Rails: A server-side web application framework written in Ruby.

Database Management:

• SQL Databases: MySQL, PostgreSQL for structured data storage.
• NoSQL Databases: MongoDB, Cassandra for unstructured data or specific use cases.

Server Management:

• Nginx or Apache: For server and reverse proxy functionalities.
• Docker: For containerizing applications and ensuring consistency across multiple development and release cycles.
• Kubernetes: For automating deployment, scaling, and operations of application containers.

DevOps and Continuous Integration/Continuous Deployment (CI/CD):

• Git: For version control.
• Jenkins, Travis CI, or CircleCI: For continuous integration and deployment.
• Ansible, Chef, or Puppet: For configuration management.

Cloud Services:

• AWS: For various cloud services like computing, database storage, content delivery, etc.
• Serverless Frameworks: Such as AWS Lambda or Google Cloud Functions for running code without provisioning or managing servers.

Security:

• OAuth, JWT: For secure authentication mechanisms.
• SSL/TLS: For secure data transmission.
• Various Encryption Techniques: To safeguard sensitive data.

Performance Monitoring and Testing:

• Selenium, Jest, or Mocha: For automated testing.
• New Relic or Datadog: For performance monitoring.

Data Science and Analytics:

• Python Libraries: NumPy, Pandas, or SciPy for data manipulation and analysis.
• Machine Learning Frameworks: TensorFlow, PyTorch for implementing machine learning models.

Other Technologies:

• GraphQL: For querying and manipulating data efficiently.
• WebSockets: For real-time bi-directional communication between web clients and servers.

Senior Software Engineer.

• A degree in Data Science, Artificial Intelligence, Computer Science, or a related field
• Strong proficiency in Python, with a solid understanding of object-oriented programming principles.
• Proven experience in developing applications powered by Large Language Models (LLMs).
• Demonstrated experience in building and maintaining robust ETL (Extract, Transform, Load) data pipelines.
• Ability to build full-stack applications using JavaScript; experience with modern frameworks like React and Next.js is highly desirable.
• A pragmatic and self-starting individual, capable of executing tasks effectively with minimal supervision.
• Experience developing modern frontend applications, with specific expertise in using Web Components.
• Knowledge of simulation principles and discrete optimisation techniques.
• Relevant professional certifications in AI, Machine Learning, or cloud platforms are a plus.

Experience

• Proven track record building AI (e.g. LLM-powered solutions, Agent-Based Applications), data science, or numerical computing projects end-to-end—from initial concept through to deployment and maintenance.
• Extensive hands-on experience (4+ years) with core technologies, including:
• Advanced Python, utilising libraries such as NumPy, Pandas, and frameworks for multiprocessing and asynchronous programming.
• Relational database management systems.
• Development and deployment within Linux environments.
• Collaborative development workflows using Git.

Position: Founding Engineer (SDE)

Location: Remote

Do you have a passion for developing cutting-edge software? Do you thrive in the innovative atmosphere of a startup? If coding is your art, and you have the prowess to turn problems into sophisticated solutions, then we're looking for you!

We are an early-stage startup working on re-defining how businesses in India approach accounting.

The Role:

• Dive deep into coding challenges, transforming ideas into groundbreaking software solutions.
• Play a pivotal role in our startup's journey, working closely with a dynamic team to develop the next big thing.
• See the immediate impact of your work in a rapidly-growing company.
• 
  

What We're Looking For:

• Experience: Minimum 2 years in software development.
• Problem Solvers: Ability to take on a challenge, break it down, and deliver an end-to-end solution.
• Team Player: Collaborative mindset to work seamlessly with cross-functional teams.
• Fast Learner: Adaptability in a rapidly changing environment

Nice to Have:

• Victories in hackathons or coding challenges, showcasing your ability to innovate under pressure.

Why Join Us?

• Be at the forefront of our exciting journey, where your contributions directly shape our success.
• Collaborative and open culture – your insights and expertise won't just be appreciated; they'll be celebrated!
• Opportunities for rapid growth, professional development, and unique challenges.
• Competitive, class-leading compensation

CTC: 25-40LPA based on experience

What you need to have:

Selected candidates day-to-day responsibilities include:

1. Working on computer vision/image processing applications like object classification, segmentation, etc.
2. Working on deep learning algorithms for machine vision based inspection usecases
3. Working on Machine Vision Cameras involving variety of Lens, Filters and other Optical Elements to collect data
4. Having full stack development experience will be plus